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@hanxiao hanxiao released this 30 Aug 13:12
· 5962 commits to master since this release
v0.5.0
47cfb89

Jina 0.5.0 Release

We are excited to release Jina 0.5.0. Jina is the easier way to do neural search on the cloud. Highlights of this release include:

  • Recursive Document structure
  • Native data querying capabilities
  • Migration of Executors to Jina Hub
  • Support for Mindspore

⬆️ Major Features and Improvements

Completeness

  • Introduce recursive Document structure. In short, the protobuf definition of Document and Chunk are unified. In this new representation, Document has a recursive structure and the deprecated Chunk is now a nested Document one level deeper. This new proto enables cleaner driver design, yields more consistent low-level APIs, and provides great extensibility on future features. #652, #684, #700, #709 #729 #726

This is a breaking change. If you started using Jina before 0.4.1, we highly suggest you read our migration guide.

  • Add native data querying capabilities. With the new family of Drivers based on BaseQueryLangDriver, you can perform standard query operations on the Document. Here is a list of the new drivers:
Name Description Counterpart in other query languages
FilterQL Filter the Document/Chunk by its attributes filter/where
SelectQL, SelectRegQL, ExcludeQL, ExcludeRegQL Select attributes select/exclude
SliceQL Take the first k doc/chunk limit/take/slicing
SortQL Sort a list of Documents sort/order_by
ReverseQL Reverse the list of collections reverse

Check more details at New Query Language Driver.

Usability

  • Migrate executors to Jina Hub. Jina Hub is an open registry for hosting Jina executors via container images. It enables users to ship and exchange reusable components across various Jina search applications. Jina Hub is referred as a Git Submodule in Jina. The Jina team will maintain the executors on Jina Hub. You can build your own executors as well. #852, #842, #848, #855, #857, #861, #860, #871, #872, #879, #880, #854

Check more details at Jina Hub.

Universal

⚠️ Breaking Changes

  • Unify yaml_file and image with uses. You can use: a YAML file path, a supported Executor's class name, the content of a YAML config, or a Docker image. Check more details by running jina pod --help or in the Jina docs #684
v0.4.0 v0.5.0 
f = (Flow()
     .add(name='from_class', yaml_file='_pass')
     .add(name='from_yaml', yaml_file='mwu.yml')
     .add(name='from_str', yaml_file='!OneHotTextEnocoder')
     .add(name='from_docker', image='jinaai/hub.examples.mwu_encoder'))
 
f = (Flow()
     .add(name='from_class', uses='_pass')
     .add(name='from_yaml', uses='mwu.yml')
     .add(name='from_str', uses='!OneHotTextEnocoder')
     .add(name='from_docker', uses='jinaai/hub.examples.mwu_encoder'))
  • Replace the replicas argument with parallel to avoid misunderstanding. parallel indicates how many Peas are running in parallel. #700
v0.4.0 v0.5.0 
!Flow
pods:
  encode:
    uses: helloworld.encoder.yml
    replicas: 2
 
!Flow
pods:
  encode:
    uses: helloworld.encoder.yml
    parallel: 2
  • Replace join with needs to improve readability. #762
v0.4.0 v0.5.0 
f = (Flow()
     .add(name='p1', uses='_pass')
     .add(name='p2', uses='_pass', needs='p1')
     .add(name='p3', uses='_pass', needs='p1')
     .needs(['p2', 'p3']))
 
f = (Flow()
     .add(name='p1', uses='_pass')
     .add(name='p2', uses='_pass', needs='p1')
     .add(name='p3', uses='_pass', needs='p1')
     .join(needs=['p2', 'p3']))
  • Introduce recursive Document structure. This affects a wide range of drivers and executors. Please refer to the full list at #702

🐞 Bug Fixes and Other Changes

Flow

  • Refactor and improve the code for building the Flow. #685
  • Fix export_api. #695
  • Fix the Pea name. #698
  • Fix the bug of two join operations in the same Flow. #730
  • Add an alias _pass for _forward; add an argument, name, for Flow.join() so that one can customize the name of the Pods; add an argument, uses, for Flow.join(), which unifies the usage of yaml_path and images. #748
  • Improve URL regex pattern matching #780

Executors

  • Add FeatureAgglomeration, TSNEEncoder, RandomSparseEncoder, RandomGaussianEncoder in the numeric encoders. #567, #838
  • Fix multiple bugs in MilvusIndexer #677 #679
  • Support full range of models from 🤗Transformers. #701
  • Fix the type bug in NgtIndexer. #742
  • Refactor the image crafter. #759
  • Refactor the framework-based executors to make it easier to build executors from various DL frameworks. #771, #800
  • Add ImageFlipper. #777
  • Fix cached_property. #785
  • Add TorchObjectDetectionSegmenter in the crafters for object detection. #770, #784, #788
  • Fix the bug in cropping the image. #769
  • Add a query_by_id function for BaseVectorIndexer so that we can query by Document id. #827
  • Refactor FaissIndexer #825
  • Fix a bug in serialization of the indexer. #874

Drivers

  • Fix the slicing bug in the QueryLang and improve the documents. #696, #714, #822
  • Add ConcateEmbedDriver for concatenate vectors. #748
  • Fix the default value issue of the level_depth. #817

Documentation

Protos

  • Refactor tags from map to Struct. #719

Tests

  • Add unit test for QueryLang. #710
  • Add tests for VectorSearchDriver and KVSearchDriver. #733
  • Add tests for EncodeDriver. #734
  • Add tests for CraftDriver. #737
  • Add tests for SegmentDriver. #738
  • Add tests for SliceQL. #782
  • Add tests for Chunk2DocRankDriver. #813
  • Improve the unit tests for indexers and add type checking. #838, #844

Others

  • Add tests and coverage report in CI. Jina's current test coverage is 76.52% #713 #682
  • Add typing to Jina. #761
  • Fix the broken labeling action. #787
  • Support ignoring packages on the dependency list. #859
  • Add missing Pillow dependency. #858

🙏 Thanks to our Contributors

This release contains contributions from Alex C-G, Andrey Vasnetsov, Anish Pawar, BingHo1013, Emmanuel Adesile, Eric Shen, Han Xiao, JamesTang616, Joan Fontanals Martinez, Kavan72, Maanav Shah, Morry Wang, Nan Wang, Rohan Chaudhari, Shivam Ra, Shivam Raj, Yue Liu, Zenahr Barzani, coolmian, dima, fhaase2, hanxiao, joanna350, roccia, shivam-raj.

🙏 Thanks to our Community

And thanks to all of you out there as well! Without you Jina couldn't do what we do. Your support means a lot to us.

🤝 Work with Jina

Want to work with Jina full-time? Check out our openings on our website.

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